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raymondgh

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To the defense of the models, the experiment was run with temperature set at 0.01 which is very low; setting this can lead to weird responses. My find-on-page also found no mention of “thinking” or “reasoning” in the paper. Not trying to discount the whole thing but very curious how changing the parameters might affect results

Thanks for sharing! I tried using it for Thai language coming from English and found that the app understands me well! But I couldn’t understand it at all. It replied to my turns with very long messages (20+ syllables) in pure Thai and spoke with an unnatural rhythm which made it hard to pick out words or phrases. The foreign alphabet made it really difficult too. I tried changing some settings in the bottom left menu and it started speaking English to me too, but I found it unbearably slow. At one point it asked me if I wanted it to speak in pure Thai or a mix and then ignored my answer. Ultimately as a beginner I don’t think Issen will work for me very well as-is. Happy to check back in the future!

I've thought a few times when reading some funding announcement on techcrunch, "That was my idea!" which is super validating and nice to see. Some of these multiple-inventions are pretty inspiring to learn about. I think it reinforces concretely the idea that "execution" matters more than anything else.

I searched for series b startups hiring for data analyst roles in the Bay Area for a friend. It returned lots of bigger companies that I didn’t want included. I also had no luck trying to figure out how to copy paste or share the results (using iPhone). Overall though I think this is a great idea and wish you the best!

I tried to vibe code a web app with windsurf and found it appeared to do really well in the beginning. But I had to harsh the vibes in two types of scenarios it couldn’t understand or solve on its own: performance and css animation.

When I copy paste via ChatGPT I direct the model on what to do and retain responsibility and understanding of all code getting saved.

I do really like Cascade in windsurf because it does a decent job of parsing the entire codebase and finding the spot to make changes. But I think I’ll probably be most successful combining my approaches and using Cascade at a coding level not a “vibe” level

30 minutes of play per 3 days is such a brutal reality to acknowledge. One of the most wonderful experiences in all of life so drastically limited by the society we’ve constructed.

Depending on the culture of the company, the product management function will come with a range of expectations from the powers that be — figure those out asap. Figure out the big personalities, the values of the company, and obviously start talking to their customers on week 1 and every week (day?) thereafter.

As a senior PM, you probably need to pay a lot more attention to your executive stakeholders than a junior PM who might focus instead on lower level cross functional needs, developer focus, design, etc. I would also suggest that after you’re comfortable with your onboarding that you embrace high visibility and even fight for it if anyone discourages you or devalues your communication efforts. Good luck!

This is awesome. About five years ago I wanted to solve the same problem of tracking my pots and glazes. I also noticed the many:many relationship very quickly and deliberated on the schema. Neo4j looked really cool but I think I ended up going with join tables (ie pots, glazes, pot_glaze) in Postgres. I think I didn’t get nearly as far as you did in a weekend though!

Lately I hack in firebase and have been interested in trying supabase. I’ll have to add instantdb to my list.

You should productionize this! Get glaze recipes in there too!

I think there could be an aspect of social cooling contributing to decreased per-user engagement. I find myself considering my online comments more carefully now than I did 10 years ago across all platforms.

Given that the author points out Vimeo as being the worst offender in their sample, I wonder if having a lot of dark patterns is a signal that the core value proposition of the business isn't strong enough to stand alone.

2nd thought is that every dark pattern that makes it harder to cancel or easier to sign up is a bullet point on a resume of a growth hacker somewhere.

We believe our models should reflect our consumers, which is why we’re continuing to diversify our human models in terms of size and body type, age and skin color

Does this mean that as a consumer I should see a diverse set of models or only see models reflecting my own traits? Is there a balance to strike between personalization and diversity, or is that a false dichotomy?

I had the same reaction. I read the first line of the article and instantly knew I didn’t have the patience to find the content implied by the title. There have been discussions here about this problem for recipe sites especially. What I wonder is whether the majority of their readers (non HN people) also feel annoyed by this.

I love this part

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